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Optical Flow Regularization of Implicit Neural Representations for Video Frame Interpolation
[article]
2022
arXiv
pre-print
Recent works have shown the ability of Implicit Neural Representations (INR) to carry meaningful representations of signal derivatives. In this work, we leverage this property to perform Video Frame Interpolation (VFI) by explicitly constraining the derivatives of the INR to satisfy the optical flow constraint equation. We achieve state of the art VFI on limited motion ranges using only a target video and its optical flow, without learning the interpolation operator from additional training
arXiv:2206.10886v1
fatcat:74a4s2rhknh2bnsyfofvbhtj2u